Five “Whys” of Data Cleansing
Data scientists claim that they spend 80% of their time cleansing data and the other 20% of their time complaining…
ambler
Do We Expect Too Much or Too Little of AI?
Generative artificial intelligence (AI) is garnering a lot of attention these days. Although impressive, it isn’t perfect and as a…
How Will Artificial Intelligence Impact Project Management?
The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely…
Introduction to Data Technical Debt
“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to…
Governing Agile Teams – Part 2 of 2
Agile teams are being governed, and often not governed well. That is because agile teams work in a much different…
Governing Agile Teams: Part 1 of 2
An important, yet seldom discussed topic is: How to govern agile teams? This is rather strange considering that agile teams…
Better Estimates Through the Art of Guesstimation
For years, I have been involved with estimating a wide variety of things. I have read about and then experimented…
Why Disciplined Agile?
This article explores why you should consider adopting the Disciplined Agile (DA) toolkit from several points of view: Why Should…
You Can’t “Cherry Pick” Agile Projects
When you are first adopting agile techniques in your organization a common strategy is to run one or more pilot…
Lean Data Governance Strategies
The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. The way…